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Titlebook: Self-Organising Neural Networks; Independent Componen Mark Girolami Book 1999 Springer-Verlag London Limited 1999 algorithms.artificial int

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书目名称Self-Organising Neural Networks
副标题Independent Componen
编辑Mark Girolami
视频video
丛书名称Perspectives in Neural Computing
图书封面Titlebook: Self-Organising Neural Networks; Independent Componen Mark Girolami Book 1999 Springer-Verlag London Limited 1999 algorithms.artificial int
描述The conception of fresh ideas and the development of new techniques for Blind Source Separation and Independent Component Analysis have been rapid in recent years. It is also encouraging, from the perspective of the many scientists involved in this fascinating area of research, to witness the growing list of successful applications of these methods to a diverse range of practical everyday problems. This growth has been due, in part, to the number of promising young and enthusiastic researchers who have committed their efforts to expanding the current body of knowledge within this field of research. The author of this book is among one of their number. I trust that the present book by Dr. Mark Girolami will provide a rapid and effective means of communicating some of these new ideas to a wide international audience and that in turn this will expand further the growth of knowledge. In my opinion this book makes an important contribution to the theory of Independent Component Analysis and Blind Source Separation. This opens a range of exciting methods, techniques and algorithms for applied researchers and practitioner engineers, especially from the perspective of artificial neural net
出版日期Book 1999
关键词algorithms; artificial intelligence; classification; data mining; learning; neural networks; optimization;
版次1
doihttps://doi.org/10.1007/978-1-4471-0825-2
isbn_softcover978-1-85233-066-8
isbn_ebook978-1-4471-0825-2Series ISSN 1431-6854
issn_series 1431-6854
copyrightSpringer-Verlag London Limited 1999
The information of publication is updating

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Mark Girolami BSc (Hons), BA, MSc, PhD, CEng, MIMechE, MIEEkly magazine . . ran a two-page article in early 1998 questioning ‘how serious is drug taking at work?’ The general thrust of the article was that data on the size of the problem was inconclusive — ‘opinions come easy but facts are harder to find’ (Williams, 1998: 14) — but the underlying theme was
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Mark Girolami BSc (Hons), BA, MSc, PhD, CEng, MIMechE, MIEEkly magazine . . ran a two-page article in early 1998 questioning ‘how serious is drug taking at work?’ The general thrust of the article was that data on the size of the problem was inconclusive — ‘opinions come easy but facts are harder to find’ (Williams, 1998: 14) — but the underlying theme was
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Mark Girolami BSc (Hons), BA, MSc, PhD, CEng, MIMechE, MIEEkly magazine . . ran a two-page article in early 1998 questioning ‘how serious is drug taking at work?’ The general thrust of the article was that data on the size of the problem was inconclusive — ‘opinions come easy but facts are harder to find’ (Williams, 1998: 14) — but the underlying theme was
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984). It is now: ‘a place without physical walls or even physical dimensions’, where ‘interaction occurs as if it happened in the real world and in real-time, but constitutes only a “virtual reality”’ (Byassee, 1995: 199; Tribe, 1991: 15). The inhabitants of cyberspace are a virtual community of ‘so
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Background to Blind Source Separation,This chapter presents the fundamental concepts relating to Blind Source Separation in general and the linear transformation Independent Component Analysis specifically.
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978-1-85233-066-8Springer-Verlag London Limited 1999
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